Package: bgsmtr
Title: Bayesian Group Sparse Multi-Task Regression
Version: 0.1
Description: Fits a Bayesian group-sparse multi-task regression model using Gibbs
    sampling. The hierarchical prior encourages shrinkage of the estimated regression
    coefficients at both the gene and SNP level. The model has been applied
    successfully to imaging phenotypes of dimension up to 100; it can be used more
    generally for multivariate (non-imaging) phenotypes.
Author: Farouk S. Nathoo, Keelin Greenlaw, Mary Lesperance
Maintainer: Farouk S. Nathoo <nathoo@uvic.ca>
Depends: R (>= 3.3.1), Matrix (>= 1.2.6), mvtnorm (>= 1.0.5)
Imports: coda (>= 0.18.1), EDISON (>= 1.1.1), mnormt (>= 1.5.4),
        statmod (>= 1.4.26), sparseMVN (>= 0.2.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-10-04 14:23:21 UTC; farouknathoo
Repository: CRAN
Date/Publication: 2016-10-04 17:49:35
